IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD12

ACCELERATING

INSIGHTS

How the mainframe is helping clients get fresh insights from real-time data
ÃÃÃ

A

nalytics and big data
are helping companies
understand customer
behavior, circumvent
fraud and enable businesses to offer
customized services. IBM helps its
clients gain insights from analytics to
benefit their decision making, improve
customer service and, ultimately, boost
the bottom line.
To find out how IBM is doing this,
IBM Systems Magazine sat down with
Paul DiMarzio, zEnterprise* Big Data
and Analytics offering manager.

Q: What trends are driving big data and
analytics?
A: Analytics used to be considered
a back-office activity as well as a
backward-looking activity. Now, clients
in every industry want to get a realtime business-critical perspective with
analytics. Organizations want to inject
analytics into operational business
processes. In insurance, for example,
claims processing is a big part of the
business, and fraud is a big problem
with processing claims. In the old

12 // MAY/JUNE 2014 Special Report

paradigm, companies periodically
would look at all of the claims that were
paid, try to figure out which ones were
probably fraudulent and attempt to
claw that money back. You can't do that
anymore. Now when a claim comes in,
companies can use analytics to make a
prediction as to whether that claim is
fraudulent and to deal with it before the
claim is actually paid.
Because analytics is now a frontoffice business critical activity, the
way data is processed within IT has
to change. Clients need to bring the
analytics to the data rather than export
the data to outside processors. It's a
complete reversal of the way things
have been over the last 20-odd years.

Q: How is that concept being received
by clients?
A: Everybody seems to understand
the need to change. We taught our
clients to build their systems under
the old paradigm because it was more
cost-effective at the time. In the past,
the mainframe wasn't necessarily
best positioned to handle analytics.

But today it is, because IBM has put
an enormous amount of work into it,
including changes to the processor,
memory and cache.
Most companies don't want to
overhaul their data centers overnight,
and rightly so. But when we talk about
specific use cases with these clients and
how their peers are getting benefit, then
they say, "Yeah, we need to figure out
how to do this." You really have to prove
it's beneficial to do it the new way.

Q: Are you seeing the decision-making
process changing because of analytics?
A: Strategic and tactical decision
making isn't going to change much,
but it does need to be accelerated.
People need to get information faster
because it's a hyper-competitive
environment. The longer it takes to
make a decision, the less competitive
you are with your peers.
It's different for operational
decisions-the ones that are made
hundreds to millions of times a day.
With operational decisions, we're
injecting analytics directly into the main



IBM Systems Magazine, Mainframe - Big Data - May/June 2014

Table of Contents for the Digital Edition of IBM Systems Magazine, Mainframe - Big Data - May/June 2014

Table of Contents
Editor's Desk
Cover Story: Big Data’s Competitive Advantage: Survey results illustrate the impact of big data
Feature: Accelerating Insights: How the mainframe is helping clients get fresh insights from real-time data
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD1
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD2
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - Editor's Desk
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - Cover Story: Big Data’s Competitive Advantage: Survey results illustrate the impact of big data
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD5
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD6
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD7
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD8
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD9
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD10
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD11
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - Feature: Accelerating Insights: How the mainframe is helping clients get fresh insights from real-time data
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD13
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD14
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD15
IBM Systems Magazine, Mainframe - Big Data - May/June 2014 - BD16
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